Metric forests based on Gaussian mixture model for visual image classification

Soft Computing ◽

10.1007/s00500-016-2350-4 ◽

2016 ◽

Vol 22 (2) ◽

pp. 499-509 ◽

Author(s):

Yong Xu ◽

Qian Zhang ◽

Lin Wang

Keyword(s):

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Visual Image ◽

Gaussian Mixture

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Textural feature selection by joint mutual information based on Gaussian mixture model for multispectral image classification

Pattern Recognition Letters ◽

10.1016/j.patrec.2009.11.010 ◽

2010 ◽

Vol 31 (10) ◽

pp. 1168-1174 ◽

Author(s):

Mounir Ait Kerroum ◽

Ahmed Hammouch ◽

Driss Aboutajdine

Keyword(s):

Feature Selection ◽

Mutual Information ◽

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Multispectral Image ◽

Textural Feature

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A vectorial image classification method based on neighborhood weighted Gaussian mixture model

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2008.4649563 ◽

2008 ◽

Author(s):

Hui Tang ◽

Jean-Louis Dillenseger ◽

Li Min Luo

Keyword(s):

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Classification Method

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Learning Gaussian mixture model with a maximization-maximization algorithm for image classification

2016 12th IEEE International Conference on Control and Automation (ICCA) ◽

10.1109/icca.2016.7505390 ◽

2016 ◽

Author(s):

Kart-Leong Lim ◽

Han Wang ◽

Xiaozheng Mou

Keyword(s):

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture

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Band Selection by Divergence Distance Based on Gaussian Mixture Model for Hyperspectral Image Classification

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2019/72852019 ◽

2019 ◽

Vol 8 (5) ◽

pp. 2330-2338

Author(s):

Mohammed LAHLIMI ◽

Keyword(s):

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Hyperspectral Image ◽

Gaussian Mixture ◽

Band Selection ◽

Hyperspectral Image Classification

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Learning a field of Gaussian mixture model for image classification

2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV) ◽

10.1109/icarcv.2016.7838684 ◽

2016 ◽

Author(s):

Kart-Leong Lim ◽

Han Wang

Keyword(s):

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture

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A new fuzzy Gaussian mixture model (FGMM) based algorithm for mammography tumor image classification

Multimedia Tools and Applications ◽

10.1007/s11042-016-3605-x ◽

2016 ◽

Vol 76 (7) ◽

pp. 10191-10205 ◽

Author(s):

Samaneh Aminikhanghahi ◽

Sung Shin ◽

Wei Wang ◽

Soon I. Jeon ◽

Seong H. Son

Keyword(s):

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture

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Application of remote sensing image classification based on adaptive Gaussian mixture model in analysis of mountain environment features

Arabian Journal of Geosciences ◽

10.1007/s12517-021-07899-2 ◽

2021 ◽

Vol 14 (15) ◽

Author(s):

Nan Xu

Keyword(s):

Remote Sensing ◽

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Remote Sensing Image ◽

Gaussian Mixture ◽

Remote Sensing Image Classification ◽

Mountain Environment

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Retraction Note: Application of remote sensing image classification based on adaptive Gaussian mixture model in analysis of mountain environment features

Arabian Journal of Geosciences ◽

10.1007/s12517-021-09208-3 ◽

2021 ◽

Vol 14 (24) ◽

Author(s):

Nan Xu

Keyword(s):

Remote Sensing ◽

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Remote Sensing Image ◽

Gaussian Mixture ◽

Remote Sensing Image Classification ◽

Mountain Environment

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Gaussian mixture model with semantic distance for image classification

The 26th Chinese Control and Decision Conference (2014 CCDC) ◽

10.1109/ccdc.2014.6852440 ◽

2014 ◽

Author(s):

Wei Wu ◽

Guanglai Gao ◽

Jianyun Nie

Keyword(s):

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Semantic Distance ◽

Gaussian Mixture

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Band Selection with Bhattacharyya Distance Based on the Gaussian Mixture Model for Hyperspectral Image Classification

Recent Advances in Electrical and Information Technologies for Sustainable Development - Advances in Science, Technology & Innovation ◽

10.1007/978-3-030-05276-8_10 ◽

2019 ◽

pp. 87-94

Author(s):

Mohammed Lahlimi ◽

Mounir Ait Kerroum ◽

Youssef Fakhri

Keyword(s):

Image Classification ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Hyperspectral Image ◽

Gaussian Mixture ◽

Band Selection ◽

Hyperspectral Image Classification ◽

Bhattacharyya Distance

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